Center for the Spatiotemporal Modeling of Cell Signaling

描述(申请人提供)：细胞行为是无数相互作用的生化、生理和结构事件的产物，所有这些事件都在时间和空间上整合在一起。新墨西哥州的科学家处于理想的位置，可以提供生物系统以及了解复杂的细胞内和细胞间信号网络的时空组织、相互作用和动态行为所需的数学、统计和计算工具、理论和技术。新墨西哥大学(UNM)只有一个校区，医学院的研究人员与文理工学院的数学家、计算机科学家、生物学家、化学家、物理学家和工程师建立了牢固的研究伙伴关系。UNM的科学家从与科学家的合作和桑迪亚国家实验室(SNL)非凡的计算资源中受益匪浅。此外，新墨西哥州大学的科学家与洛斯阿拉莫斯国家实验室、圣达菲研究所和国家基因组研究中心建立了强有力的研究伙伴关系。这项应用，建立UNM/SNL细胞信号网络时空建模中心，有以下目标：1)将计算建模集成到创新的生物医学研究项目中，重点是了解复杂细胞信号网络的行为，并反过来，将实验室测量集成到复杂细胞信号网络的计算建模研究中；2)招聘和指导新的教员，能够开发基于计算的研究程序，解决复杂细胞信号系统的数量和空间方面的问题；3)为本科生、研究生和博士后学生，包括我们自己的西班牙裔和美国原住民学生，提供在复杂生物系统中进行跨学科研究所需的严格的跨学科培训；以及4)，向信号和建模社区传播专业知识。最初，该中心将支持六个多学科项目，重点是对互补的细胞内和细胞间信令网络进行建模。PSE资源将把在各个项目中开发的生物数据和建模工具合并到一个问题解决环境中，该环境可以很容易地访问，以便对细胞信号网络进行建模。该中心将为数据采集和同化、管理、培训以及外联和传播等核心工作提供支持。该中心将对其生物医学、数学、统计和计算科学家提出高要求，并将为年轻研究人员提供非同寻常的机会，以建立令人兴奋和富有成效的职业生涯。

DESCRIPTION (provided by applicant): Cell behavior is the product of myriad interacting biochemical, physiological and structural events, all integrated in time and space. New Mexico's scientists are ideally positioned to provide the biological systems and the mathematical, statistical and computational tools, theory and technologies needed to understand the spatiotemporal organization, interactions and dynamic behaviors of complex intra- and inter-cellular signaling networks. The University of New Mexico (UNM) occupies a single campus and the School of Medicine's research faculty have forged strong research partnership with the mathematicians, computer scientists, biologists, chemists, physicists and engineers in the Colleges of Arts and Sciences and Engineering. UNM's scientists benefit greatly from collaborations with the scientists and extraordinary computing resources at Sandia National Laboratory (SNL). Additionally, UNM's scientists have strong research partnerships with Los Alamos National Laboratory, the Santa Fe Institute and the National Center for Genome Research. This application, to establish the UNM/SNL Center for the Spatiotemporal Modeling of Cell Signaling Networks, has the following goals: 1), to integrate computational modeling into innovative biomedical research projects focused on understanding the behavior of complex cell signaling networks and, conversely, to integrate laboratory measurements into computational modeling studies of complex cell signaling networks; 2), to recruit and mentor new faculty capable of developing computationally-based research programs that address quantitative and spatial aspects of complex cell signaling systems; 3), to provide undergraduate, graduate and postdoctoral students, including our own Hispanic and Native American students, with the rigorous interdisciplinary training needed to conduct interdisciplinary research in complex biological systems; and 4), to disseminate expertise and knowledge to the signaling and modeling communities. Initially, the Center will support six multidisciplinary Projects focused on modeling complementary intra- and inter-cellular signaling networks. A PSE Resource will incorporate the biological data and modeling tools developed in the individual projects into a problem solving environment that can be accessed readily for the modeling of cell signaling networks. The Center will support cores for Data Capture and Assimilation, Administration, Training and Outreach and Dissemination. The Center will place high demands on its biomedical, mathematical, statistical and computational scientists and will provide exceptional opportunities for young researchers to build exciting and productive careers.